Sallie R. Permar

9.9k citations
204 papers · 4.6k indexed · 1 hit paper · h-index 35
  • Virology top 0.5%
    • HIV Research and Treatment 81
    • HIV/AIDS Research and Interventions 41
    • Parvovirus B19 Infection Studies 26
    • SARS-CoV-2 and COVID-19 Research 16
    • Cytomegalovirus and herpesvirus research 83
    • Herpesvirus Infections and Treatments 46
    • Virology and Viral Diseases 16
  • Immunology top 2%
    • Immune Cell Function and Interaction 18

Sallie R. Permar

197 papers receiving 4.5k citations

Hit Papers

Human Cytomegalovirus mRNA-1647 Vaccine Candidate Elicits...4820242026202510203040

Peers

Sallie R. Permar
Comparison fields: 5 of 170
  • Virology 808
  • Infectious Diseases 1.7k
  • Epidemiology 2.2k
  • Immunology 1.2k
  • Obstetrics and Gynecology 325
Replace Esper G. Kallás with:
Esper G. Kallás Brazil
Robert J. Biggar United States
Michael Kidd United Kingdom
Susan L. Stramer United States
Hui Zeng China
Pentti Koskela Finland
Yvonne J. Bryson United States
Clive M. Gray South Africa
Peter Openshaw United Kingdom
Stéphane Blanche France
Sallie R. Permar relative to Esper G. Kallás Brazil Esper G. Kallás's profile →
Citations per field
00.5×1.5×2.0×
Esper G. Kallás · 1×
Citations per year

Countries citing papers authored by Sallie R. Permar

Since Specialization
Citations

This map shows the geographic impact of Sallie R. Permar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sallie R. Permar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sallie R. Permar more than expected).

Fields of papers citing papers by Sallie R. Permar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sallie R. Permar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sallie R. Permar. The network helps show where Sallie R. Permar may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Sallie R. Permar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sallie R. Permar Line = papers co-authored together Sallie R. Permar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202512
2 20250
3 20244
4 202416
5 20242
6 20225
7 20226
8 202119
9 20216
10 202121
11 202044
12 20204
13 202012
14 201913
15 201952
16 201810
17 2018121
18 201825
19 201779
20 201020

About Sallie R. Permar

Sallie R. Permar is a scholar working on Virology, Infectious Diseases and Epidemiology, having authored 204 papers that have together received 4.6k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (83 papers), HIV Research and Treatment (81 papers), Herpesvirus Infections and Treatments (46 papers), HIV/AIDS Research and Interventions (41 papers), Parvovirus B19 Infection Studies (26 papers), Immune Cell Function and Interaction (18 papers), SARS-CoV-2 and COVID-19 Research (16 papers) and Virology and Viral Diseases (16 papers). The work is most often cited by research in Virology (808 citations), Infectious Diseases (1.7k citations) and Epidemiology (2.2k citations). Sallie R. Permar has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Genevieve G. Fouda, Geeta K. Swamy, David R. Martinez, Mark R. Schleiss, Zhonghe Sun, Ying Zhang, Jennifer A. Jenks, Youyi Fong, Cody S. Nelson and Norman L. Letvin. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and JAMA.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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